More than words: A Framework for Describing Human-Robot Dialog Designs

Abstract

This paper presents a novel framework for describing human-robot interaction dialog, developed from a survey and analysis of existing systems and research. We collected data from 75 published systems and conducted an iterative thematic analysis to distill the broad range of work into key underlying factors defining them. Our framework provides a language to describe human-robot dialog systems and a new way of classifying and understanding human-robot dialog, in terms of both high-level design aspects and relevant implementation details. Our quantitative survey summary further provides a detailed, contemporary snapshot of predominant approaches in the field, highlighting opportunities for further exploration.

Appendices

Video

Publisher Link

https://dl.acm.org/doi/10.5555/3523760.3523813

Citation

James M. Berzuk and James E. Young. 2022. More Than Words: A Framework for Describing Human-Robot Dialog Designs. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI '22). IEEE Press, 393–401. (Best Paper Award in Theory and Methods Category)

Bibtext Entry

@inproceedings{10.5555/3523760.3523813,
author = {Berzuk, James M. and Young, James E.},
title = {More Than Words: A Framework for Describing Human-Robot Dialog Designs},
year = {2022},
publisher = {IEEE Press},
abstract = {This paper presents a novel framework for describing human-robot interaction dialog, developed from a survey and analysis of existing systems and research. We collected data from 75 published systems and conducted an iterative thematic analysis to distill the broad range of work into key underlying factors defining them. Our framework provides a language to describe human-robot dialog systems and a new way of classifying and understanding human-robot dialog, in terms of both high-level design aspects and relevant implementation details. Our quantitative survey summary further provides a detailed, contemporary snapshot of predominant approaches in the field, highlighting opportunities for further exploration.},
booktitle = {Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction},
pages = {393–401},
numpages = {9},
keywords = {social robotics, dialog, survey, human-robot interaction, framework},
location = {Sapporo, Hokkaido, Japan},
series = {HRI '22}
}